Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Abstract--On NVIDIA's many-core GPUs, there is no synchronization function among parallel thread blocks. When finegranularity of data communication and synchronization is requ...
Jianmin Chen, Zhuo Huang, Feiqi Su, Jih-Kwon Peir,...
The need for automated software engineering tools and techniques continues to grow as the size and complexity of studied systems and analysis techniques increase. Software enginee...